Multi-Objective Optimal Design of Permanent Magnet Synchronous Motor for High Efficiency and High Dynamic Performance

Gao, Hong; Tian, Wenhan; Ding, Xiaofeng

doi:10.1109/access.2018.2828802

Cited by 54 publications

(36 citation statements)

References 18 publications

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“…Thus the mathematical model of the VFPM has a similar construction. The steady-state dq-axis voltage equation for the VFPM is expressed by (1) and 2:…”

Section: B Dynamic Mathematical Modelmentioning

confidence: 99%

“…Variable speed applications like electric vehicles require high-efficiency electric machine systems. Permanent magnet synchronous machines (PMSMs) are one of the major machine types being applied in the variable speed fields [1], [2]. Although the rotor flux in the PMSMs is generated by the permanent magnets, flux-weakening current is necessary when the rotor back electromotive-force (EMF) surpasses the DC-link voltage limitation.…”

Section: Introductionmentioning

confidence: 99%

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Online Magnetization Trajectory Prediction and Current Control for a Variable-Flux Permanent Magnet Machine

Chen

Fang

2020

IEEE Access

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Online magnetization current control is a critical concern of the variable-flux permanent magnet machine control. Increasing the magnetization speed benefits the machine system, which reduces manipulation losses and mechanical impact. Thus, this paper proposes an online trajectory prediction method that increases the DC-link voltage utilization, boosting the manipulation speed. The prediction method decouples the rotating voltage and the induction voltage in the machine model. The induction voltage is the source of di/dt, which influences the magnetization manipulation speed. The proposed method updates the maximum available induction voltage at every manipulation stage by excluding the rotating voltage from the DC-link voltage limitation. Based on the induction voltage, the magnetization current trajectory is predicted. The trajectory prediction is cooperated with a feed-forward current controller to increase the control dynamics. Verified by various experiments, the proposed method achieves fast manipulation speed with high control accuracy. Besides, the proposed method shows self-adaptive capabilities in variable-speed and variable-voltage conditions. INDEX TERMS Current control, feed-forward PI controller, magnetization, mathematical model, motor control, variable-flux permanent magnet machine.

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“…Thus the mathematical model of the VFPM has a similar construction. The steady-state dq-axis voltage equation for the VFPM is expressed by (1) and 2:…”

Section: B Dynamic Mathematical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Online Magnetization Trajectory Prediction and Current Control for a Variable-Flux Permanent Magnet Machine

Chen

Fang

2020

IEEE Access

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“…7 shows semi-analytically and numerically calculated torques for all machines. Semi-analytical results are calculated using (2), where B m1 is obtained by 2-D FEA. Convex curves illustrate that under both rated and overload operating points, maximal torques appear in machines that have 2p slightly less than z.…”

Section: Influence On Torque Densitymentioning

confidence: 99%

Investigation Study of the Influence of Pole Numbers on Torque Density and Flux-Weakening Ability of Fractional Slot Concentrated Winding Wheel-Hub Machines

et al. 2019

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Fractional slot concentrated winding machines (FSCWMs) with the low operation speed and large diameter usually have a large number of poles and slots; thus, numerous pole/slot combinations are feasible. The common practice to choose pole/slot combinations by multiplying the basic combinations may neglect some competitive candidates. Taking 36-slot FSCWMs as examples, this paper investigates the influence of pole numbers on torque density and flux-weakening ability, the two most vital performances of wheel-hub machine. It is shown that the machines with pole number slightly less than the slot number have the highest torque densities. Each component of synchronous inductance is separately analyzed, and its variation against pole numbers shows obvious regularity. Machines with pole numbers larger than the slot numbers have an excellent flux-weakening ability due to the large inductance and small permanent magnet flux linkage. The measurements together with the finite element analysis results confirm that the stator leakage inductance contributes the most to the superior flux-weakening ability. The identical analysis is also performed on 54-slot and 81-slot FSCWMs, with similar regularities observed.

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“…The optimal design for a PMSM can be created by combining design methods such as analytical models [1,2], magnetic equivalent circuit (MEC) models [3,4], and finite element analysis (FEA) [5][6][7][8] with an optimal design algorithm. Although these design methods have their advantages, the FEA optimization method combined with the optimal design algorithm has the highest accuracy [5].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimal Design of Permanent Magnet Synchronous Motor for Electric Vehicle Based on Deep Learning

You

2020

Applied Sciences

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Recently, a large amount of research on deep learning has been conducted. Related studies have also begun to apply deep learning techniques to the field of electric machines, but such studies have been limited to the field of fault diagnosis. In this study, the shape optimization of a permanent magnet synchronous motor (PMSM) for electric vehicles (EVs) was conducted using a multi-layer perceptron (MLP), which is a type of deep learning model. The target specifications were determined by referring to Renault’s Twizy, which is a small EV. The average torque and total harmonic distortion of the back electromotive force were used for the multi-objective functions, and the efficiency and torque ripple were chosen as constraints. To satisfy the multi-objective functions and constraints, the angle between the V-shaped permanent magnets and the rib thickness of the rotor were selected as design variables. To improve the accuracy of the design, the design of experiments was conducted using finite element analysis, and a parametric study was conducted through analysis of means. To verify the effectiveness of the MLP, metamodels was generated using both the MLP and a conventional Kriging model, and the optimal design was determined using the hybrid metaheuristic algorithm. To verify the structural stability of the optimized model, mechanical stress analysis was conducted. Moreover, because this is an optimal design problem with multi-objective functions, the changes in the optimal design results were examined as a function of the changes in the weighting. The optimal design results showed that the MLP technique achieved better predictive performance than the conventional Kriging model and is useful for the shape optimization of PMSMs.

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Multi-Objective Optimal Design of Permanent Magnet Synchronous Motor for High Efficiency and High Dynamic Performance

Cited by 54 publications

References 18 publications

Online Magnetization Trajectory Prediction and Current Control for a Variable-Flux Permanent Magnet Machine

Online Magnetization Trajectory Prediction and Current Control for a Variable-Flux Permanent Magnet Machine

Investigation Study of the Influence of Pole Numbers on Torque Density and Flux-Weakening Ability of Fractional Slot Concentrated Winding Wheel-Hub Machines

Multi-Objective Optimal Design of Permanent Magnet Synchronous Motor for Electric Vehicle Based on Deep Learning

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